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hgpu.org » Programming » CUDA

STREAMIT: Dynamic visualization and interactive exploration of text streams

Jamal Alsakran, Yang Chen, Ye Zhao, Jing Yang, Dongning Luo

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Tags: Computer science, CUDA, Interactive application, nVidia, nVidia Quadro NVS 295, Visualization

July 31, 2011 by hgpu

Power-efficient medical image processing using PUMA

Ganesh Dasika, Kevin Fan, Scott Mahlke

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Tags: Algorithms, CUDA, Energy-efficient computing, Image processing, Image reconstruction, Medicine, MRI, nVidia, nVidia GeForce GTX 280

July 31, 2011 by hgpu

A parallel accelerator for semantic search

Abhinandan Majumdar, Srihari Cadambi, Srimat T. Chakradhar, Hans Peter Graf

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Databases, FPGA, nVidia, Semantic indexing, Tesla C1060

July 30, 2011 by hgpu

Computational wave optics library for C++: CWO++ library

Tomoyoshi Shimobaba, Jian Tong Weng, Takahiro Sakurai, Naohisa Okada, Takashi Nishitsuji, Naoki Takada, Atsushi Shiraki, Nobuyuki Masuda, Tomoyoshi Ito

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Optics, Physics

July 29, 2011 by hgpu

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Neural networks, nVidia, nVidia GeForce GT 200, Performance

July 29, 2011 by hgpu

GPU accelerated Monte Carlo simulations of lattice spin models

Martin Weigel, Taras Yavors'kii

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics, Tesla C1060

July 28, 2011 by hgpu

Iterative layer-based raytracing on CUDA

A. Segovia, Xiaoming Li, Guang Gao

Tags: Algorithms, Computer science, CUDA, Image generation, nVidia, Raytracing

July 28, 2011 by hgpu

Image representation by blob and its application in CT reconstruction from few projections

Han Wang, Laurent Desbat, Samuel Legoupil

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Tags: Computed tomography, Computer science, CT, CUDA, Image reconstruction, Numerical Analysis, nVidia, Tesla C2070

July 27, 2011 by hgpu

Computation of electron quantum transport in graphene nanoribbons using GPU

S. Ihnatsenka

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Tags: Computational Physics, CUDA, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce 8800, Physics, Tesla C1060

July 27, 2011 by hgpu

Accelerating feature extraction for patch-based Multi-View Stereo algorithm

Hui Zhang, Yongming Xie, Pheng-Ann Heng

Tags: Algorithms, CUDA, Image processing, nVidia

July 27, 2011 by hgpu

Experiences with hybrid clusters

Eric Van Hensbergen, Damir Jamsek

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Tags: Cell processor, Computational Complexity, Computer science, CUDA, Hybrid computing, MPI, nVidia, Presentation, Tesla

July 27, 2011 by hgpu

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Alecio P.D. Binotto, Bernardo M.V. Pedras, Marcelo Goetz, Arjan Kuijper, Carlos E. Pereira, Andre Stork, Dieter W. Fellner

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Task scheduling

July 27, 2011 by hgpu

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

STREAMIT: Dynamic visualization and interactive exploration of text streams

Power-efficient medical image processing using PUMA

A parallel accelerator for semantic search

Computational wave optics library for C++: CWO++ library

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

GPU accelerated Monte Carlo simulations of lattice spin models

Iterative layer-based raytracing on CUDA

Image representation by blob and its application in CT reconstruction from few projections

Computation of electron quantum transport in graphene nanoribbons using GPU

Accelerating feature extraction for patch-based Multi-View Stereo algorithm

Experiences with hybrid clusters

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Recent source codes

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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